Machine Learning Engineer, Tech Lead
About Creatify
Creatify is building the world’s first end-to-end AI advertising agent—a platform that automates the entire video ad lifecycle, from scripting and avatar-led generation to testing, optimization, and publishing across Meta, TikTok, YouTube, and more.
In just 18 months, we’ve surpassed $10 million in ARR, serving over 1.5 million users across 10,000+ teams. Leading brands—including Alibaba, HubSpot, Binance, NewsBreak, and Zumper—use Creatify to produce personalized, high-performing video ads in minutes.
We have raised $23M in funding from leading Silicon Valley firms including WndrCo, Kindred Ventures, Millennium New Horizons, NFDG, Creator Ventures, Leadout Capital, Hat Trick Capital, and many more. Check out our latest coverage by Fast Company, TechCrunch, Bloomberg TV, and our recognition as one of IVP Enterprise AI 55 in 2024.
Based in Mountain View, we are a team of passionate AI researchers, engineers, and advertising veterans. Join us in reinventing the advertising industry with AI.
About this role
We’re hiring a Machine Learning Engineer to design and scale advanced models and systems for prediction, recommendation, and generative AI. In this role, you’ll work on large-scale applied ML problems, build state-of-the-art solutions, and mentor junior engineers while occasionally leading projects.
This is a full-time, in-person position based in Mountain View, CA.
Responsibilities
Research, design, develop, and test operating-systems–level software, compilers, and network distribution software for massive social data and prediction problems.
Bring extensive industry experience across ranking, classification, recommendation, and optimization problems (e.g., payment fraud, CTR/CVR prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, spam detection), or expertise in modern generative and foundation model approaches (e.g., LLMs, transformers, diffusion models).
Tackle large-scope problems; develop highly scalable systems, algorithms, and tools leveraging deep learning, data regression, and rules-based models.
Suggest, collect, analyze, and synthesize requirements and identify bottlenecks across technology, systems, and tools.
Build solutions that iterate quickly, efficiently leverage orders of magnitude more data, and explore state-of-the-art deep learning techniques.
Demonstrate strong engineering craft and operate with minimal guidance while mentoring junior engineers.
Apply advanced ML methods to fully exploit modern parallel environments (e.g., distributed clusters, and GPU).
Lead small teams or projects where necessary, providing technical guidance, code reviews, and architectural direction.
Qualifications
Bachelor’s degree (or foreign equivalent) in Computer Science, Engineering, Applied Sciences, Mathematics, Physics, or a related field.
4+ years of industry experience in software engineering or applied machine learning roles (E5+ or equivalent).
Proven track record of delivering large-scale systems and solving complex applied ML problems in production.
Prior experience in a tech lead (TL) capacity, such as driving technical direction, mentoring teammates, or coordinating cross-functional projects.
We are an equal opportunity employer and highly value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Average salary estimate
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
Lead the design and production deployment of large-scale wildfire and climate models that power Stand’s climate resilience platform.
Lead the architecture and deployment of high-impact ML and LLM-based systems at Jerry.ai to improve user experience and drive large-scale product growth.
Jerry.ai is hiring a Staff Machine Learning Engineer (PhD) to lead architecture and production deployment of advanced ML models powering its automotive super app.
Lead the design and production deployment of advanced ML and LLM systems at Jerry.ai to power high-impact features across the super app.
Vanta seeks a Senior Data Scientist to lead predictive analytics, build scalable data pipelines and models, and translate complex data into strategic insights for product and business stakeholders.
As an Azure AI Foundry Specialist at Everything To Gain, you will architect and deploy Azure-based AI solutions that turn data into actionable business insights.
Data Scientist (Marketing Analytics) role to design and deploy predictive models and analytics solutions that inform marketing strategy and operational decision-making at Allstate Identity Protection (remote, US).
Mindera is hiring a Senior Data Scientist to lead MMM, incrementality testing and geo-experimentation to optimize multi-channel marketing investment and measurement.
Lead development and production deployment of graph-based fraud detection and advanced analytics solutions to reduce fraud losses and improve client experience at Bank of America.
Nelo is hiring a senior data scientist in NYC to design ML-driven underwriting, personalization, and experimentation systems that directly impact credit and marketplace product performance.
Work with Experian's Innovation Lab to design and prototype advanced machine learning and generative AI solutions that unlock value from diverse datasets.
Lead the architecture and production deployment of scalable AI/ML systems for high-impact fintech products at a rapidly growing company.
Join Jerry.ai as a Data Scientist to design experiments, build machine learning models, and influence growth and product strategy at a fast-scaling pre-IPO startup.
🔮
Hi, I'm Risa! Your AI Career Copilot
you, just ask me below!
